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Analyze audio structure, rhythm, and key with structured JSON and visual outputs.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "beatlyzer-mcp" yet — see the docs or source repo.
Analyze this audio file and extract BPM, key, verse/chorus sections, beat drops, and loudness changes. Return the results as JSON and include a visualization summary.
Structured JSON with tempo, key, section breakdown, and dynamic changes, plus charts or a visualization summary.
Analyze this background track and identify the best beat drops, volume surges, and highlight moments for transitions and beat-synced editing. List them with timestamps.
A time-ordered list of key sync points with event type, intensity, and suggested editing use.
Compare these two audio files in terms of BPM, key, brightness, overall loudness, and structure, and generate a program-friendly JSON comparison.
A structured comparison showing similarities, differences, and measurable audio feature metrics for both tracks.
Process WAV audio with natural-language commands for inspection and editing.
Parse Ableton Live project files offline and query tempo, tracks, clips, and MIDI.
Create electronic music in Ableton Live with AI-guided genre-aware production.
Enable AI to transcribe audio, detect languages, and extract metadata.
Extract YouTube audio and analyze tempo, mood, energy, and synced lyrics.
Analyze videos with scenes, transcripts, visual descriptions, and storyboards.